Dr. Hsieh-Sheng Hou Profile

Dr. Hsieh-Sheng Hou

Engineering Specialist

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Publications (9)

Proceedings Article | 2 November 2004 Paper

A new lifting scheme for lossless image compression

Hsieh Sheng Hou

Proceedings Volume 5558, (2004) https://doi.org/10.1117/12.577651

KEYWORDS: Wavelet transforms, Transform theory, Image compression, Matrices, Silicon, Data compression, Wavelets, Convolution, Radon, Information technology

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Proceedings Article | 2 November 2004 Paper

A fast adaptive lifting method for lossless hyperspectral data compression

Hsieh Sheng Hou

Proceedings Volume 5558, (2004) https://doi.org/10.1117/12.577652

KEYWORDS: Wavelet transforms, Image compression, Wavelets, Data compression, JPEG2000, Image quality standards, Image filtering, Statistical analysis, Algorithm development, Digital filtering

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The real advantage of using a wavelet transform for image data compression is the power of adapting to local statistics of the pixels. In hyperspectral data, many but not all spectral planes are well correlated. In each spectral plane, the spatial data is composed of patches of relatively smooth areas segmented by edges. The smooth areas can be well compressed by a relatively long wavelet transform with a large number of vanishing moments. However, for the regions around edges, shorter wavelet transforms are preferable. Despite the fact that the local statistics of both the spectral and spatial data change from pixel to pixel, almost all known image data compression algorithms use only one wavelet transform for the entire dataset. For example, the current international still image data compression standard, JPEG2000, has adopted the 5/3 wavelet transform as the default standard for lossless image data compression for all images. There is not a single wavelet filter that performs uniformly better than the others. Thus, it would be beneficial to use many types of wavelet filters based on local activities of the image. The selected wavelet transform can thus be best adapted to the content of the image locally. In this paper, we have derived a fast adaptive lifting scheme that can easily switch wavelet filters from one to the other. The adaptation is performed on a pixel-by-pixel basis, and it does not need any bookkeeping overhead. It is known that the lifting scheme is a fast and powerful tool to implement all wavelet transforms. Especially for integer-to-integer wavelet transforms, the lifting scheme is an indispensable tool for lossless image compression. Taking advantage of our newly developed lossless lifting scheme, the fast adaptive lifting algorithm presented in this paper not only saves two lifting steps but also improves accuracy compared to the conventional lifting scheme for lossless data compression. Moreover, our simulation results for ten two-dimensional images have shown that the fast adaptive lifting scheme outperforms both of the lossless wavelet tranforms used in JPEG2000 and the S+P transform in lossless SPIHT algorithm.

Proceedings Article | 7 December 2001 Paper

New unitary transforms based on multiwavelets

Hsieh-Sheng Hou

Proceedings Volume 4472, (2001) https://doi.org/10.1117/12.449773

KEYWORDS: Transform theory, Wavelet transforms, Wavelets, Image compression, Aerospace engineering, Image processing, Modulation, Xenon, Lithium, Matrices

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Proceedings Article | 7 December 2001 Paper

True Radix-2 discrete cosine transform algorithm

Hsieh-Sheng Hou

Proceedings Volume 4472, (2001) https://doi.org/10.1117/12.449792

KEYWORDS: Image compression, Algorithm development, Matrices, Image processing, Video compression, Standards development, Image quality standards, Digital image processing, Chlorine, Image resolution

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Proceedings Article | 7 December 2001 Paper

Merge and split of Fourier-tranformed data

Hsieh-Sheng Hou

Proceedings Volume 4472, (2001) https://doi.org/10.1117/12.449774

KEYWORDS: Fourier transforms, Algorithm development, Digital signal processing, Radon, Aerospace engineering, Signal processing, Data processing, Platinum, Digital image processing, Information technology

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Proceedings Article | 31 December 1996 Paper

Modulated lapped transform vs JPEG: implications for compression of remote sensing imagery

Hsieh-Sheng Hou, Stephanie Danahy, David Glackin

Proceedings Volume 2960, (1996) https://doi.org/10.1117/12.262482

KEYWORDS: Image compression, Image processing, Image quality, Modulation, Remote sensing, Aerospace engineering, Algorithm development, Quantization, Visualization, Error analysis

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Proceedings Article | 1 December 1991 Paper

Recursive scaled DCT

Hsieh-Sheng Hou

Proceedings Volume 1567, (1991) https://doi.org/10.1117/12.50865

KEYWORDS: Image compression, Digital image processing, Very large scale integration, Algorithm development, Quantization, Image quality, Algorithms, Electroluminescence, Image processing, Aerospace engineering

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Proceedings Article | 1 November 1990 Paper

Frequency characterization of the discrete cosine transform

Hsieh-Sheng Hou, Daniel Tretter

Proceedings Volume 1349, (1990) https://doi.org/10.1117/12.23514

KEYWORDS: Image compression, Image processing, Digital image processing, Quantization, Fourier transforms, Image enhancement, Visualization, Process modeling, Data modeling, Spatial frequencies

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Proceedings Article | 1 November 1990 Paper

Frequency versus time-delay approach for acquiring multiple unknown chirp signals

Hsieh-Sheng Hou, Wai-Hung Ng

Proceedings Volume 1348, (1990) https://doi.org/10.1117/12.23479

KEYWORDS: Signal detection, Signal processing, Filtering (signal processing), Electronic filtering, Silicon, Radar, Linear filtering, Electroluminescence, Frequency modulation, Aerospace engineering

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Showing 5 of 9 publications

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